To avoid accidents, warning driver assistance systems require an on-line estimation of the current risk of collision. For that, a new method is proposed that - in principle - is able to deal with arbitrary traffic situations. This is achieved by the use of generative models to describe the expected driver behavior. Corresponding user studies in real traffic show promising results even when real time constraints are taken into account


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    Title :

    Fahrerabsichtserkennung und Risikobewertung für warnende Fahrerassistenzsysteme


    Contributors:

    Publication date :

    2016


    Size :

    1 electronic resource (XX, 159 p. p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    Unknown







    Fahrerabsichtserkennung und Risikobewertung für warnende Fahrerassistenzsysteme

    Liebner, Martin | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2016

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